Presented to Sub-regional workshop on integration of administrative data, big data and geospatial information for the compilation of SDG indicators

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1 Presented to Sub-regional workshop on integration of administrative data, big data and geospatial information for the compilation of SDG indicators April,2018 Addis Ababa, Ethiopia By: Deogratius Malamsha National Bureau of Statistics

2 Census maps of varying levels of specificity are an integral part of modern Population and Housing Censuses They provide necessary spatial reference for the population eligible for enumeration They help to ensure total coverage of the population during enumeration as they make it possible to avoid under/over enumeration They assist in planning and controlling the enumeration and ensure that the data is allocated to the correct administrative units. They provide the basic frame for sampling

3 The 2002 census preparatory mapping work spread over a period of approx 4 yrs( Feb 1997 June 2002) Although the 2002 census was successfully carried out, the cartographic preparations experienced many difficulties, including lack of up to date topographic base maps After the census, it was decided to develop a comprehensive inter-censal mapping programme with an objective of developing GIS within NBS and continual updating of the census geographic frame to improve its accuracy and content

4 1) Adjustment of Enumeration Areas used during 2002 Population and Housing Census What is involved? Review EA size 60 to 100 hhs in both urban & rural Revision of the Coding Scheme 12 digits instead of 10 Collection of additional data for GIS input spatial and non-spatial data for village/ward offices, educational and health facilities, water points, police stations, etc; village altitudes i.e. height above mean sea level; Transform from analogue to digital (digitization of

5 Physical visits to localities Capture and record on special form, GPS coordinates of individual features (spatial information) with their attributes like name and type of facility. Transfer map details onto base maps, (topo sheets, orthophoto maps, satellite images such as SPOT 5, QUICKBIRD, etc. of useful resolution and detail for rural/urban settlements). Digitizing the updated map with EAS

6 Enter all the field data into the database Create attribute tables Create geo-database Link data on features into GIS Spatial analysis for decision making like spatial planning and thematic mapping can be done at this stage EA map, ward maps, etc., can be automatically generated as required

7 Digital aerial photography and ortho photos Satellite imagery Topographic base maps of 1:50,000 TP and Village drawings GIS, GPS and related software A0 Scanner and A3 Printers

8 After making sure all Data/ Information is processed and well arranged, then the upload into a Portal follows. All spatial and non-spatial data are uploaded respectively. Visit then navigate to GIS data portal

9 Enumeration Area (EA) Level Village Level Ward Level District Level Regional Level National Level

10 Conducted by NBS on 26 th August, 2012 Total number of EAs covered were 109,000 Both Spatial and Non- spatial Data is available at NBS

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13 Poverty Mapping Education Facility Mapping Health Facility Mapping Sex Ratios etc,

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15 Health Education Telecommunication Finance Agriculture Transportation Land Administration Defining New Administrative/Political Boundaries Planning

16 Mapping of Disability Prevalence, HIV & Malaria Prevalence, Maternal and Child Health, Tuberculosis (TB Register) etc All these can be mapped by village, ward, district, region or zone

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20 Percent households using piped water Surface water Protected and unprotected wells Households using flush toilets, etc

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22 Diary Goat Production by Region Cattle Population by Region Improved Beef Cattle by Region Harvest of Mize, etc

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25 Population density Voting population Dependency ratio School enrolment ratio, etc

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32 Technology (Infrastructure) Policy (Data Sharing Policy) Data Quality (Standards e.g. ISO etc) People who collect data Promote Geographical Data Sharing

33 National Steering Committee formed since 2003 soon after Population & Housing Census Chaired by Dr E. Mtalo from Ardhi University Draft of NSDI Policy is in place There is a budget set by NBS to facilitate Steering Committee meetings

34 Not yet fully established within the Country Only data exchange is done between NBS, SMD & IRDP Both Spatial and Non-Spatial are Data shared Other Organizations/ Ministries are encouraged to join/establish this infrastructure to facilitate data linking form these organizations

35 At NBS we have a Dissemination Policy where the cost for our products are well documented This enables data sharing with our stakeholders

36 All data from censuses and surveys can be presented spatially as seen in the maps shown. Planning can be done spatially by looking at what is where instead of relying on assumptions Decision makers and planners are highly encouraged to utilize the spatially referenced data for resource allocations. Private sectors like banks, telecommunication companies, hotels etc can use the spatial data to plan for potential customers, suitable areas for new investments, etc

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